scholarly journals Modeling Multidimensional Public Opinion Polarization Process under the Context of Derived Topics

2021 ◽  
Vol 18 (2) ◽  
pp. 472
Author(s):  
Tinggui Chen ◽  
Yulong Wang ◽  
Jianjun Yang ◽  
Guodong Cong
Keyword(s):  
Public Opinion ◽  
Correlation Coefficient ◽  
Information Dissemination ◽  
Mutual Influence ◽  
Internet Technology ◽  
Polarization Process ◽  
Polarization Model ◽  
Multi Stage ◽  
Different Dimensions ◽  
External Intervention

With the development of Internet technology, the speed of information dissemination and accelerated updates result in frequent discussion of topics and expressions of public opinion. In general, multi-dimensional discussion topics related to the same event are often generated in the network, and the phenomenon of multi-dimensional public opinion polarization is formed under the mutual influence of groups. This paper targets the phenomenon of multi-dimensional public opinion polarization under topic-derived situations as the research object. Firstly, this paper identifies the factors influencing multi-dimensional public opinion polarization, including the mutual influence of different topic dimensions and the interaction of viewpoints within the same topic. Secondly, the topic correlation coefficient is introduced to describe the correlation among topics in different dimensions, and the individual topic support degree is used to measure the influence of topics in different dimensions and that of information from external intervention on individual attitudes. Thirdly, a multi-dimensional public opinion polarization model is constructed by further integrating multi-dimensional attitude interaction rules. Finally, the influence of individual participation, topic status, topic correlation coefficient and external intervention information on the multi-dimensional public opinion polarization process is analyzed through simulation experiments. The simulation results show that:(1) when there is a negative correlation between multi-dimensional topics, as the number of participants on different dimensional topics becomes more consistent, the conflict between multi-dimensional topics will weaken the polarization effect of overall public opinion. However, the effect of public opinion polarization will be enhanced alongwith the enhancement in the confidence of individual opinions. (2) The intervention of external intervention information in different dimensions at different times will further form a multi-dimensional and multi-stage public opinion polarization, and when the multi-dimensional topics are negatively correlated, the intervention of external intervention information will have a stronger impact on the multi-dimensional and multi-stage public opinion polarization process. Finally, the rationality and validity of the proposed model are verified by a real case.

Study on the Operation Model of Colleges Network Learning Propaganda and Public Opinion Guidance Based on the Internet

2013 ◽  
Vol 380-384 ◽  
pp. 2104-2108
Author(s):  
Chen Liang Li ◽  
Ming Xia Zhu
Keyword(s):  
Public Opinion ◽  
Information Science ◽  
Internet Technology ◽  
The Internet ◽  
C Language ◽  
Network Learning ◽  
Maximum Value ◽  
Network Transmission ◽  
The Impact ◽  
Important Significance

With the development of computer information science and technology, Internet has a large number of network propaganda and public opinion page every day. Through the network micro message and the micro-blog forwarding, network propaganda and public opinion have the impact on the development and stability of colleges, so the study network propaganda and public opinion has important significance for the development of colleges. Under this background, based on the computer Internet technology, the Internet erection of network propaganda guidance mode are analyzed, and compared with the fuzzy minimum production tree theory and the C language software, the network construction is verified. Finally the iterative process of finding the network transmission is relatively stable, after 800 iterative steps, numerical is slowly increasing, in which the maximum value is about 0.0001. The seven school propaganda is been as the minimum spanning of tree main network, its sum of weighted has been up to 1606.

scholarly journals Challenges of Urban Transport in the Face of Studentification – A Case Study of Toruń

2018 ◽  
Vol 11 (4) ◽  
pp. 90-109
Author(s):  
Mirosław Wylon ◽  
Agnieszka Kempa ◽  
Alicja Słowy ◽  
Justyna Chodkowska-Miszczuk
Keyword(s):  
Public Transport ◽  
Research Area ◽  
Urban Transport ◽  
Research Approach ◽  
Relative Speed ◽  
Multi Stage ◽  
The World ◽  
The Face ◽  
Different Dimensions

Summary Subject and purpose of work: Urban transport is a key element of the functioning of urban agglomerations around the world. As it is of strategic importance, the needs of its users have to be diagnosed. Due to the fact that students are the most numerous social group using public transport, particular attention should be paid to students as the real creators of the needs of urban transport. The paper aims to diagnose the challenges in urban transport shaped by the process of studentification based on the case study of Toruń. Materials and methods: The multi-stage research approach was adopted, among others a survey among students. The choice of the research area was determined by the fact that Toruń is one of the largest academic centres in Poland. Results: Toruń is experiencing the effects of the studentification process in different dimensions, including the spatial and transport facets. Conclusions: The majority of students use public transport, daily or several times a week. The most preferred means of transport is the tram owing to its relative speed and punctuality.

scholarly journals Sistem Informasi Pengelola Bank ASI Berbasis Website (Studi Kasus: Posyandu Kelurahan Bantarsoka)

2021 ◽  
Vol 5 (1) ◽  
pp. 41-49
Author(s):  
Tyas Pratama Puja Kusuma ◽  
◽  
Dania Gusmi Rahayu ◽  
Keyword(s):  
Information System ◽  
Breast Milk ◽  
Information Dissemination ◽  
The Other ◽  
Internet Technology ◽  
Bank Management ◽  
Technological Developments ◽  
Analysis Design ◽  
Structured Approach ◽  
Breast Fed

The problem discussed in this study is designing a system that can be used as an ASI bank. The Posyandu in Bantarsoka Village is very concerned about the importance of breastfeeding for babies. A lot of babies who are not breast fed are a concern. On the other hand, many breastfeeding mothers also have excess breast milk. The absence of a system that accommodates information about ASI at the Posyandu in Bantarsoka Village makes the Posyandu less optimal in helping its residents overcome the problem of breastfeeding distribution. With current technological developments, the idea emerged to create an information system for ASI management, which later could be a solution to the problems. The ASI Bank Management System aims to provide a forum for mothers who have been excess breast fed to be able to donate their breast milk to babies who do not get their mother's milk intake. This study uses the Waterfall method which is carried out with a structured approach, starting from the system requirement's stages, analysis, design, coding, testing, and maintenance. The result of this research is an information system in the form on the ASI Bank website. With this system, it is hoped that it can help with the problem of breastfeeding distribution. The system created can properly manage and record breastfeeding ownership, who is the donors and recipients. By utilizing Internet technology, information dissemination can be accessed quickly and easily.

Information Dissemination Mechanism Based on Cloud Computing Cross-Media Public Opinion Network Environment

2021 ◽  
Vol 14 (2) ◽  
pp. 70-83
Author(s):  
Ping Liu
Keyword(s):  
Cloud Computing ◽  
Public Opinion ◽  
Computer Technology ◽  
Information Dissemination ◽  
Transmission Mechanism ◽  
Practical Significance ◽  
Propagation Mechanism ◽  
Cross Media ◽  
User Density ◽  
Network Public Opinion

As an important expression of social public opinion, network public opinion develops rapidly with the popularization of the internet and then affects the real society. Therefore, the use of computer technology to study the network public opinion information transmission mechanism has strong practical significance. The purpose of this paper is to use cloud computing to realize the research of information dissemination mechanism in the context of cross-media public opinion network. Researched from three aspects of operator supervision, number of media, and user density, the hotspot propagation mechanism of Storm platform given in this paper can solve the efficiency problems of traditional algorithms while ensuring accuracy, improve efficiency, and lay the foundation for the research on the monitoring of Internet public opinion propagation.

scholarly journals A Measurement Model of Mutual Influence for Information Dissemination

Entropy ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. 725
Author(s):  
Liang Zhang ◽  
Yong Quan ◽  
Bin Zhou ◽  
Yan Jia ◽  
Liqun Gao
Keyword(s):  
Social Network ◽  
Information Dissemination ◽  
Mutual Influence ◽  
Synthetic Data ◽  
Measurement Model ◽  
Mobile Internet ◽  
Information Propagation ◽  
Information Cascade ◽  
Data Set ◽  
Access Information

The recent development of the mobile Internet and the rise of social media have significantly enriched the way people access information. Accurate modeling of the probability of information propagation between users is essential for studying information dissemination issues in social networks. As the dissemination of information is inseparable from the interactions between users, the probability of propagation can be characterized by such interactions. In general, there are differences in the dissemination modes of information that carry different topics in a real social network. Using these factors, we propose a method (TMIVM) to measure the mutual influence between users at the topic level. The method associates two vectorization parameters for each user—an influence vector and a susceptibility vector—where the dimensions of the vector represent different topic categories. The magnitude of the mutual influence between users on different topics can be obtained by the product of the corresponding elements of the vectors. Specifically, in this article, we fit a social network historical information cascade data through Survival Analysis to learn the parameters of the influence and susceptibility vectors. The experimental results on a synthetic data set and a real Microblog data set show that this method better measures the propagation probability and information cascade predictions compared to other methods.

scholarly journals Modeling Public Opinion Reversal Process with the Considerations of External Intervention Information and Individual Internal Characteristics

Healthcare ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 160 ◽  
Author(s):  
Tinggui Chen ◽  
Yulong Wang ◽  
Jianjun Yang ◽  
Guodong Cong
Keyword(s):  
Public Opinion ◽  
Rapid Development ◽  
Policy Implications ◽  
External Information ◽  
Media Technology ◽  
The Public ◽  
Reversal Process ◽  
Information Intensity ◽  
The Impact ◽  
External Intervention

With the rapid development of “we media” technology, external information about the same sudden hot social event is often involved repetitiously, leading to frequent public opinion reversal. However, the phenomenon of public opinion reversal process usually has a long-lasting duration and spreads wide, making the event itself attract the widespread attention of ordinary people. Focusing on the public opinion reversal process of sudden social hot topic (a popular and widely discussed issue), this paper firstly identifies the internal and external factors that affect the reversal, namely individual internal characteristics and external intervention information. Secondly, information intensity and the amount of information perceived by individuals are introduced to describe the impact of external intervention information on the public opinion reversal. Thirdly, the parameters of individual attention and conservation are used to describe the process of individual’s selection of external information, so as to reveal the influence of the internal characteristics on public opinion reversal, and then build a public opinion reversal model. Fourthly, the effects of information intensity and individual attention, as well as individual conservation on the process of public opinion reversal are analyzed by simulation experiment. Simulation results show that: (1) the intensity of external intervention information affects the direction and degree of public opinion reversal; (2) when individual conservation is strong or individual attention is weak, even if external intervention information is strong, there will still be no obvious reversal of public opinion. Subsequently, the rationality and effectiveness of the proposed model are verified by a real case. Finally, some recommendations and policy implications are also given.

Multidimensional influencing factors of public opinion information dissemination in social media: Evidence from Weibo dataset

2019 ◽  
Vol 33 (31) ◽  
pp. 1950375 ◽  
Author(s):  
Guanghui Wang ◽  
Yufei Wang ◽  
Kaidi Liu ◽  
Jimei Li
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Information Content ◽  
Influencing Factors ◽  
Network Structure ◽  
Information Dissemination ◽  
Influential Factors ◽  
Channel Network ◽  
The Public ◽  
Information Characteristics

The factors influencing the dissemination of public opinion on social media, the main carrier of public opinion, are diverse, complex and changeable. Existing studies of influential factors of public opinion dissemination focus on the information itself and information sources in the dissemination process, failing to consider the comprehensive influence of multidimensional factors, such as information content, sources and channels. This study takes the identification of multidimensional influential factors of social media information dissemination as the research object and comprehensively sorts out the influencing factors of public opinion. To improve the scientific basis and accuracy of the research, multidimensional factors, including information characteristics, dissemination network structure and user-level attributes, are selected to analyze the effect of influential factors in different dimensions on the dissemination of social media public opinion information using econometric models. Three main conclusions of this paper are as follows: (1) The traditional information characteristics (information content) and information source attributes (user-level factor) are not the only key factors affecting information dissemination, while the information channel (network structure) is worth more consideration. (2) Netizens tend to pay more attention to the psychological and emotional attributes of information when forwarding public opinions. The communication mode in which offline social elites enlighten the public no longer exists; whether a user is a network celebrity or lives in the central area no longer significantly affects public opinion dissemination. (3) The higher the total amount of information users release, the more the information would interfere with the public opinion. This is mainly because users with a higher level of activity may release more invalid information about advertising that has nothing to do with public opinion events.

scholarly journals UNDERSTANDING WOMEN EMPOWERMENT IN RURAL COMMUNITIES: A CASE STUDY OF SAHIWAL DISTRICT, PUNJAB PAKISTAN

2021 ◽  
Vol 9 (3) ◽  
pp. 607-616
Author(s):  
Abdullah Ijaz ◽  
Adnan Ahmad Dogar ◽  
Ikram Shah ◽  
Mohammad Saeed Lodhi ◽  
Shakirullah Dawar
Keyword(s):  
Rural Communities ◽  
Rural Areas ◽  
Sampling Technique ◽  
Self Esteem ◽  
Policy Formulation ◽  
Women Empowerment ◽  
Group Discussions ◽  
Multi Stage ◽  
Different Dimensions ◽  
Cultural Constraints

Purpose of the study: The purpose of the study was to analyze the socio-cultural constraints that affect different dimensions of women empowerment in rural areas of Punjab province. Political participation and self-esteem were taken as dominant characteristics of women empowerment among lots of variables that collectively define women empowerment. Methodology: A mixed-method approach was used to study different dimensions of women empowerment. A multi-stage random sampling technique was used to collect the data from 85 respondents excluding widows and divorced women. Two focus group discussions were conducted, one in each village to further understand the phenomenon or empowerment and constraints faced by women. The data got analyzed by using tables and graphs made in MS Excel. Main findings: Findings of the study indicate that although cultural constraints hinder the process of women empowerment a great deal, a husband's education along with a woman's education plays a significant role in women empowerment. Results showed that if the husband is more educated, women are more empowered politically and have higher self-esteem. Application of the study: The significant contribution of a single factor in overall women empowerment is very interesting and needs further in-depth studies on different locations. The results can contribute to policy formulation for women empowerment on a larger scale.

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